A hybrid method towards automated nipple detection in 3D breast ultrasound images. - Lei Wang 025; Tobias Böhler; Fabian Zöhrer; Joachim Georgii; Claudia Rauh; Peter A. Fasching; Barbara Brehm; Rüdiger Schulz-Wendtland; Matthias W. Beckmann; Michael Uder; Horst K. Hahn (EMBC, 2014)

Fully Automated Nipple Detection in 3D Breast Ultrasound Images. - Lei Wang 025; Tobias Böhler; Fabian Zöhrer; Joachim Georgii; Claudia Rauh; Peter A. Fasching; Barbara Brehm; Rüdiger Schulz-Wendtland; Matthias W. Beckmann; Michael Uder; Horst K. Hahn (Digital Mammography / IWDM, 2014)

Signal Decomposition for X-ray Dark-Field Imaging. - Sebastian Kaeppler; Florian Bayer; Thomas Weber 001; Andreas K. Maier; Gisela Anton; Joachim Hornegger; Matthias W. Beckmann; Peter A. Fasching; Arndt Hartmann; Felix Heindl; Thilo Michel; Gueluemser Oezguel; et al. (MICCAI (1), 2014)

Optimizing R with SparkR on a commodity cluster for biomedical research. - Martin Sedlmayr; Tobias Würfl; Christian Maier; Lothar Häberle; Peter A. Fasching; Hans-Ulrich Prokosch; Jan Christoph (Comput. Methods Programs Biomed., 2016)

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. - Yinchong Yang; Peter A. Fasching; Markus Wallwiener; Tanja N. Fehm; Sara Y. Brucker; Volker Tresp (CoRR, 2016)

The Clinical Data Intelligence Project - A smart data initiative. - Daniel Sonntag; Volker Tresp; Sonja Zillner; Alexander Cavallaro; Matthias Hammon; André Reis; Peter A. Fasching; Martin Sedlmayr; Thomas Ganslandt; Hans-Ulrich Prokosch; Klemens Budde; Danilo Schmidt; et al. (Inform. Spektrum, 2016)

Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. - Volker Tresp; J. Marc Overhage; Markus Bundschus; Shahrooz Rabizadeh; Peter A. Fasching; Shipeng Yu (Proc. IEEE, 2016)

Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. - Yinchong Yang; Peter A. Fasching; Volker Tresp (ICHI, 2017)

Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. - Yinchong Yang; Peter A. Fasching; Volker Tresp (MLHC, 2017)

Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. - Yinchong Yang; Volker Tresp; Marius Wunderle; Peter A. Fasching (ICHI, 2018)

Categorical EHR Imputation with Generative Adversarial Nets. - Yinchong Yang; Zhiliang Wu; Volker Tresp; Peter A. Fasching (ICHI, 2019)

Breast MRI texture analysis for prediction of BRCA-associated genetic risk. - Georgia Vasileiou; María Jimena Costa; Christopher Long; Iris R. Wetzler; Juliane Hoyer; Cornelia Kraus; Bernt Popp; Julius Emons; Marius Wunderle; Evelyn Wenkel; Michael Uder; Matthias W. Beckmann; et al. (BMC Medical Imaging, 2020)

Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives. - Luisa Dörflinger; Michael Nissen; Katharina M. Jäger; Markus Wirth; Adriana Titzmann; Constanza Pontones; Peter A. Fasching; Matthias W. Beckmann; Stefan Gradl; Björn M. Eskofier (MuC, 2021)

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. - Zhiliang Wu; Yinchong Yang; Peter A. Fasching; Volker Tresp (MLHC, 2021)

Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. - Katharina M. Jäger; Michael Nissen; Robert Richer; Simone Rahm; Adriana Titzmann; Peter A. Fasching; Bjoern M. Eskofier; Heike Leutheuser (BHI, 2022)

Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. - Mathias Öttl; Jana Mönius; Christian Marzahl; Matthias Rübner; Carol I. Geppert; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas K. Maier; Ramona Erber; Katharina Breininger (Bildverarbeitung für die Medizin, 2022)

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. - Mathias Öttl; Jana Mönius; Matthias Rübner; Carol I. Geppert; Jingna Qiu; Frauke Wilm; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas K. Maier; Ramona Erber; Katharina Breininger (CoRR, 2022)

Prediction of QT Prolongation in Advanced Breast Cancer Patients Using Survival Modelling Algorithms. - Asmir Vodencarevic; Julia Kreuzeder; Achim Wöckel; Peter A. Fasching (DATA, 2023)

Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. - Elisabeth Gabler; Michael Nissen; Thomas R. Altstidl; Adriana Titzmann; Kai Packhäuser; Andreas K. Maier; Peter A. Fasching; Bjoern M. Eskofier; Heike Leutheuser (EMBC, 2023)

WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. - Michael Nissen; Madeleine Flaucher; Katharina M. Jaeger; Hanna Huebner; Nina Danzberger; Adriana Titzmann; Constanza A. Pontones; Peter A. Fasching; Bjoern M. Eskofier; Heike Leutheuser (EMBC, 2023)

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. - Mathias Öttl; Jana Steenpass; Matthias Rübner; Carol I. Geppert; Jingna Qiu; Frauke Wilm; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas Maier 001; Ramona Erber; Katharina Breininger (ISBI, 2023)

Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. - Michael Nissen; Nuria Barrios Campo; Madeleine Flaucher; Katharina M. Jaeger; Adriana Titzmann; Dominik Blunck; Peter A. Fasching; Victoria Engelhardt; Bjoern M. Eskofier; Heike Leutheuser (npj Digit. Medicine, 2023)

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. - Mathias Öttl; Frauke Wilm; Jana Steenpass; Jingna Qiu; Matthias Rübner; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas Maier 001; Ramona Erber; Bernhard Kainz; Katharina Breininger (ECCV (75), 2024)

Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data. - Katharina M. Jaeger; Michael Nissen; Madeleine Flaucher; Luisa Graf; Joana Joanidopoulos; Lars Anneken; Hanna Huebner; Chloë Goossens; Adriana Titzmann; Constanza Pontones; Peter A. Fasching; Matthias W. Beckmann; et al. (IEEE Access, 2024)

Analysing Diffusion Segmentation for Medical Images. - Mathias Öttl; Siyuan Mei; Frauke Wilm; Jana Steenpass; Matthias Rübner; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas K. Maier; Ramona Erber; Katharina Breininger (CoRR, 2024)

Perspectives of patients and clinicians on big data and AI in health: a comparative empirical investigation. - Patrik Hummel; Matthias Braun 006; Serena Bischoff; David Samhammer; Katharina R. Seitz; Peter A. Fasching; Peter Dabrock (AI Soc., 2024)